CHK Effects - David Card · FDZ-Methodenreport 06/2015 1 . Contents . Abstract ... (IEB) data...

CHK Effects

David Card, Jörg Heining, Patrick Kline

06/2015

CHK Effects

David Card (University of California at Berkeley), Jörg Heining (IAB), Patrick Kline (University of California at Berkeley)

Die FDZ-Methodenreporte befassen sich mit den methodischen Aspekten der Daten des FDZ und helfen somit Nutzerinnen und Nutzern bei der Analyse der Daten. Nutzerinnen und Nutzer können hierzu in dieser Reihe zitationsfähig publizieren und stellen sich der öffentlichen Diskussion.

FDZ-Methodenreporte (FDZ method reports) deal with methodical aspects of FDZ data and help us-ers in the analysis of these data. In addition, users can publish their results in a citable manner and present them for public discussion.

FDZ-Methodenreport 06/2015 1

Contents

Abstract .................................................................................................................................................. 3

Zusammenfassung ................................................................................................................................ 3

1 Introduction .................................................................................................................................... 4

2 Data ................................................................................................................................................. 4

3 Estimation ....................................................................................................................................... 5

4 CHK Effects and Linkage .............................................................................................................. 6

4.1 Sample of Integrated Labor Market Biographies ............................................................................ 7 4.1.1 Sample of Integrated Labor Market Biographies (Weakly anonymous version,

SIAB 7510) ............................................................................................................................ 7 4.1.2 Sample of Integrated Labor Market Biographies (Scientific Use File,

SIAB-Regionalfile 7510) ........................................................................................................ 8 4.2 Linked-Employer-Employee Data (LIAB) ........................................................................................ 9

4.2.1 Longitudinal Model (LIAB LM 9310) ....................................................................................... 9 4.2.2 Cross-Sectional Model (LIAB QM2 9310) .............................................................................. 9

5 Data access .................................................................................................................................. 10

6 Description of Variables .............................................................................................................. 10

6.1 Identifiers....................................................................................................................................... 10 6.1.1 Individual ID (persnr) ............................................................................................................ 10

6.2 Personal Variables ........................................................................................................................ 11 6.2.1 Person Effect 1985 – 1991 (pers_effekt1985_1991) ............................................................ 11 6.2.2 Percentile Person Effects 1985 – 1991 (p_pers_effekt1985_1991) ..................................... 11 6.2.3 Number of Years in Employment 1985 – 1991 (anz_jahre1985_1991) ............................... 11 6.2.4 Number of Establishments 1985 – 1991 (anz_bet1985_1991) ............................................ 12 6.2.5 Person Effect 1990 – 1996 (pers_effekt1990_1996) ............................................................ 12 6.2.6 Percentile Person Effects 1990 – 1996 (p_pers_effekt1990_1996) ..................................... 12 6.2.7 Number of Years in Employment 1990 – 1996 (anz_jahre1990_1996) ............................... 13 6.2.8 Number of Establishments 1990 – 1996 (anz_bet1990_1996) ............................................ 13 6.2.9 Person Effect 1996 – 2002 (pers_effekt1996_2002) ............................................................ 13 6.2.10 Percentile Person Effects 1996 – 2002 (p_pers_effekt1996_2002) ................................... 14 6.2.11 Number of Years in Employment 1996 – 2002 (anz_jahre1996_2002) ............................. 14 6.2.12 Number of Establishments 1996 – 2002 (anz_bet1996_2002) .......................................... 14 6.2.13 Person Effect 2002 – 2009 (pers_effekt2002_2009) .......................................................... 15 6.2.14 Percentile Person Effects 2002 – 2009 (p_pers_effekt2002_2009) ................................... 15 6.2.15 Number of Years in Employment 2002 – 2009 (anz_jahre2002_2009) ............................. 15 6.2.16 Number of Establishments 2002 – 2009 (anz_bet2002_2009) .......................................... 15

6.3 Establishment Variables ............................................................................................................... 16 6.3.1 Establishment Effect 1985 – 1991 (bet_effekt1985_1991) .................................................. 16 6.3.2 Percentile Establishment Effects 1985 – 1991 (p_pers_effekt1985_1991) ......................... 16 6.3.3 Establishment Effect 1990 – 1996 (bet_effekt1990_1996) .................................................. 16 6.3.4 Percentile Establishment Effects 1990 – 1996 (p_pers_effekt1990_1996) ......................... 17 6.3.5 Establishment Effect 1996 – 2002 (bet_effekt1996_2002) .................................................. 17 6.3.6 Percentile Establishment Effects 1996 – 2002 (p_pers_effekt1996_2002) ......................... 17 6.3.7 Establishment Effect 2002 – 2009 (bet_effekt2002_2009) .................................................. 18 6.3.8 Percentile Establishment Effects 2002 – 2009 (p_pers_effekt2002_2009) ......................... 18

6.4 Generated Technical Variables .................................................................................................... 18 6.4.1 Spell counter per person (spell) ............................................................................................ 18

Appendix .............................................................................................................................................. 19


Abstract This FDZ Methodenreport describes the files and variables containing the person and estab-lishment effects estimated by Card, Heining, and Kline 2013 and how this information may be combined with several of the data products available at the research Data Center (FDZ) of the German Federal Employment Agency at the Institute for Employment Research (IAB).

Zusammenfassung Dieser FDZ Methodenreport beschreibt die Dateien und Merkmale, welche die von Card, Heining und Kline geschätzten Personen- und Betriebseffekte enthalten und wie diese zu einigen der über das Forschungsdatenzentrum (FDZ) der Bundesagentur für Arbeit im Insti-tut für Arbeitsmarkt- und Berufsforschung (IAB) verfügbaren Datensätze zugespielt werden können.

Keywords: Person and Establishment Fixed Effects, German Administrative Data


1 Introduction In the 2013 paper by Card, Heining, and Kline, the role of establishment-specific wage pre-miums in generating recent increases in West German wage inequality was studied. For four subintervals covering the period from 1985 to 2009, Card et al. estimated models with addi-tive fixed effects for workers and establishments following the estimation strategy introduced in Abowd, Kramaz, and Margolis 1999.

The analyses of Card et al. 2013 were based on administrative data for Germany, the so-called Integrated Employment Biographies (IEB) data base which represents the universe of workers subject to social security contributions in Germany. The IEB data base is built by the Institute for Employment Research (IAB) and is one of the major resources of the data prod-ucts available at the Research Data Center (FDZ) of the German Federal Employment Agency at IAB.

In the framework applied by Card et al., the estimates for person fixed effects may be inter-preted as a combination of individual skills and other factors which are rewarded equally across employers. On the other hand, an establishment fixed effect represents the propor-tional pay premium (or discount) that is paid by specific establishments to all employees.

Given the comprehensive meaningfulness of the estimated worker and establishment fixed effects in Card et al. (CHK effects), the resulting coefficients represent a valuable piece of information by themselves. Consequently, FDZ has prepared several files containing the CHK effects which may be linked to the Sample of Integrated Labor Market Biographies (SIAB) data and the Linked Employer-Employee Data (LIAB) of IAB.

This FDZ Methodenreport describes these files and is structured as follows: Section 2 pro-vides a more detailed overview on the IEB data base and the sample used by Card et al. Their estimation strategy is briefly discussed in section 3. The linkage of the CHK effects to the SIAB or LIAB data is described in section 4. Section 5 provides information on how to access these files. Finally, section 6 contains a description of variables.

2 Data The IEB data base comprises information on workers stemming from different administrative processes which include:

• employment subject to social security contributions,

• receipt of benefits (unemployment benefits) in accordance with the German SocialCode, Book III or Book II,

• job search as registered by the German labor administration (Bundesagentur für Ar-beit - BA), and

• participation in labor market programs and training schemes.


All information is available on a daily basis which allows constructing precise work histories for each worker contained in the IEB data base.

For their estimations, Card et al. focused on workers in West-Germany, age 20 to 60 and estimated the CHK effects separately for women and men. Furthermore, all analyses were conducted for four time periods, in particular 1985 to 1991, 1990 to 1996, 1996 to 2002, and 2002 to 2009.

1985 - 1991 1990 - 1996 1996 - 2002 2002 - 2009

Males

Number of person effects 16.295.106 17.223.290 16.384.815 15.834.602

Number of establishment ef-fects 1.221.098 1.357.824 1.476.705 1.504.095

Females

Number of person effects 10.128.342 10.346.742 9.288.956 8.145.059

Number of establishment ef-fects 1.079.129 1.176.133 1.191.607 1.196.201

Table 1: Number of CHK effects.

Additional summary statistics are included in the appendix.

3 Estimation For the estimation of worker and establishment fixed effects, Card et al. followed the frame-work introduced by Abowd et al in 1999.

𝑦𝑦𝑖𝑖𝑖𝑖 = 𝛼𝛼𝑖𝑖 + 𝜓𝜓𝑱𝑱(𝑖𝑖,𝑖𝑖) + 𝑥𝑥𝑖𝑖𝑖𝑖′ 𝛽𝛽 + 𝑟𝑟𝑖𝑖𝑖𝑖

In a given time interval the data set contains 𝑁𝑁∗ person-year observations on 𝑁𝑁 workers and 𝐽𝐽 establishments. The function 𝑱𝑱(𝑖𝑖, 𝑡𝑡) gives the identity of the unique establishment that em-ploys worker 𝑖𝑖 in year 𝑡𝑡. It is assumed that the log daily real wage 𝑦𝑦𝑖𝑖𝑖𝑖 of individual 𝑖𝑖 in year 𝑡𝑡 is the sum of a worker component 𝛼𝛼𝑖𝑖, an establishment component 𝜓𝜓𝑱𝑱(𝑖𝑖,𝑖𝑖), an index of time-varying observable characteristics 𝑥𝑥𝑖𝑖𝑖𝑖′ 𝛽𝛽, and an error component 𝑟𝑟𝑖𝑖𝑖𝑖. The person effect 𝛼𝛼𝑖𝑖 is interpreted as a combination of skills and other factors that are rewarded equally across em-ployers. Likewise, the index 𝑥𝑥𝑖𝑖𝑖𝑖′ 𝛽𝛽 is interpreted as a combination of life cycle and aggregate factors that affect worker 𝑖𝑖’s productivity at all jobs. An unrestricted set of year dummies as well as quadratic and cubic terms in age fully interacted with educational attainment is in-cluded in 𝑥𝑥𝑖𝑖𝑖𝑖. Finally, the establishment effect 𝜓𝜓𝑗𝑗 is interpreted as a proportional pay premium (or discount) that is paid by establishment 𝑗𝑗 to all employees (i.e., all those with 𝑱𝑱(𝑖𝑖, 𝑡𝑡) = 𝑗𝑗.


Such a premium could represent rent-sharing, an efficiency wage premium, or strategic wage posting behavior.

4 CHK Effects and Linkage FDZ has prepared files containing CHK person and establishment effects for four data sets:

• Sample of Integrated Labor Market Biographies (Weakly anonymous version, SIAB 7510)

• Sample of Integrated Labor Market Biographies (Scientific Use File, SIAB-Regionalfile 7510)

• Linked Employer-Employee Data: Longitudinal Model (LIAB LM 9310)

• Linked Employer-Employee Data: Cross-Sectional Model (LIAB LM 9310)

In particular, the names of the files containing the CHK effects are:

SIAB 7510:

SIAB_7510_v1_chk_v1.dta

SIAB R 7510 (Scientific Use File):

siab-r-7510_v1_chk_v1.dta

LIAB LM 9310:

LIAB_LM_9310_v1_chk_v1.dta

LIAB QM2 9310:

LIAB_QM2_9310_v1_chk_v1_jjjj.dta, jjjj = 1993 -2009

The CHK person and establishments effects have been estimated only for regularly em-ployed, full time workers, excluding for example, marginal workers or apprentices. As conse-quence, the CHK effects may only be meaningfully interpreted for codes 101 and 201 of the erwstat variable and for the codes 1,2,3, and 4 of the stib variable (in-list(stib,1,2,3,4) & inlist(erwstat,101,201)).


However, the merging procedure described below will assign CHK effects to spells where the erwstat and stib variables may have different values. It is up to the researcher whether to use the CHK information for these data spells or not.

The prepared files not only contain the point estimates of the person and establishment ef-fects. Moreover, information on the personal level is also given on the number of years in employment and the number of establishments at which the respective individual was em-ployed during the observed period in the sample used by Card et al. Additionally, variables indicating the 5%-percentile position in the overall distribution of point estimates for both the person and the establishment effects are included. However, it is important to keep in mind that the CHK effects have been estimated separately for women and men.

4.1 Sample of Integrated Labor Market Biographies

4.1.1 Sample of Integrated Labor Market Biographies (Weakly anony-mous version, SIAB 7510)

The CHK effects may be linked to the SIAB 7510 data (see vom Berge, König and Seth 2013) by using the persnr and the spell variables.

use SIAB_7510_v1.dta, clear

merge 1:1 persnr spell using SIAB_7510_v1_chk_v1.dta

Table 2 provides an overview on the number linked CHK effects in the SIAB 7510 data.

Interval Males Females

Total Percentage Total Percentage

1985 – 1991 324.561 37,0 187.543 24,6

1990 – 1996 343.477 39,2 200.255 26,2

1996 – 2002 326.541 37,3 192.375 25,2

2002 – 2009 316.060 36,1 188.877 24,8

Total 521.857 59,6 353.098 46,3

Table 2: CHK effects in the SIAB 7510 data. The sum over all intervals does not yield the total numbers shown in the last row of the table due to the overlapping intervals. Percent-ages refer to the total number of female or male workers in the data.


4.1.2 Sample of Integrated Labor Market Biographies (Scientific Use File, SIAB-Regionalfile 7510)

A file containing CHK effects has also been prepared for the Scientific Use File (SUF) of the SIAB 7510 data (SIAB-Regionalfile 7510, see vom Berge, Burghardt and Trenkle 2013). SUF data in general are characterized by a higher degree of anonymity since they are specifically designed for off-site access. In order to preserve confidentiality when adding the CHK effects to the SIAB-Regionalfile 7510 data, not the full scope of CHK variables as compared to the weakly anonymized version of the SIAB data (SIAB 7510, see above) are available. In par-ticular, the file containing the CHK effects for the SIAB-Regionalfile 7510 data include the point estimates for the worker effects in each of the four intervals, their 5%-percentile posi-tion in the overall distribution of worker effects and the percentile positions of the establish-ment effects. However, the point estimates of the establishment effects are excluded.

As for the SIAB 7510 data, the CHK effects may be linked to the SIAB-Regionalfile 7510 data by using the persnr and the spell variables.

use SIAB_7510_v1.dta, clear

merge 1:1 persnr spell using SIAB_7510_v1_chk_v1.dta

Table 3 provides an overview on the number of workers and establishments with CHK effects in the SIAB-Regionalfile 7510 data.

Interval

Worker and Establishment Effects

Males Females


1985 – 1991 324.528 38,1 187.551 25,3

1990 – 1996 343.495 40,3 200.281 27,0

1996 – 2002 326.539 38,3 192.403 25,9

2002 – 2009 316.053 37,1 188.874 25,4

Total 595.903 70,0 497.315 67,0

Table 3: CHK effects in the SIAB-Regionalfile 7510 data. The sum over all intervals does not yield the total numbers shown in the last row of the table due to the overlapping intervals. Percentages refer to the total number of female or male workers in the data.


4.2 Linked-Employer-Employee Data (LIAB) When working with the LIAB data, it is important to keep in mind that in both the longitudinal and the cross-sectional model, worker and establishment information is included as of 1993. As a consequence, the files containing the CHK effects for the LIAB data do not include the estimates for the period between 1985 to 1991 and the years 1990 to 1992.

4.2.1 Longitudinal Model (LIAB LM 9310) The LIAB LM 9310 data are stored in several files (see Klosterhuber, Heining, and Seth 2013). In order to merge the CHK effects to the LIAB LM 9310 data, the LIAB_LM_9310_v1_chk_pers.dta file has to be used. As for the SIAB data, the persnr and spell variables are required for the merging procedure.

use LIAB_lm_9310_v1_pers.dta, clear

merge 1:1 persnr spell using LIAB_LM_9310_v1_chk_v1.dta

Table 4 provides an overview on the number of workers and establishments with CHK effects in the LIAB LM 9310 data.

Interval

Person and Establishment Effects

Males Females


1990 – 1996 448.305 41,5 210.587 26,2

1996 – 2002 575.578 53,3 276.105 34,3

2002 – 2009 637.249 59,0 318.502 39,6

Total 736.843 68,3 410.688 51,1

Table 4: CHK effects in the LIAB LM 9310 data. The sum over all intervals does not yield the total numbers shown in the last row of the table due to the overlapping intervals. Percent-ages refer to the total number of female or male workers in the data.

4.2.2 Cross-Sectional Model (LIAB QM2 9310) The file organization of the LIAB QM2 9310 data differs substantially from the SIAB 7510 and LIAB LM 9310 data (see Heining, Scholz, and Seth 2013). Worker and establishment data of the LIAB QM2 9310 data are stored separately for each year with the consequence that for each year one file with CHK effects exists.

Merging the CHK effects to the LIAB QM2 9310 worker data is analogous to the SIAB 7510, the SIAB-Regionalfile 7510 and the LIAB LM 9310 data.


use LIAB_qm2_9310_v1_pers_jjjj.dta

merge 1:1 persnr spell LIAB_QM2_9310_v1_chk_v1_jjjj.dta

with jjj = 1993 to 2009

Table 5 gives an overview on the number of workers and establishments with CHK effects in the LIAB QM2 9310 data.

Interval

Person and Establishment Effects

Males Females


1990 – 1996 2.132.935 36,0 944.954 22,5

1996 – 2002 2.477.403 41,8 1.194.490 28,5

2002 – 2009 2.561.723 43,2 1.262.210 30,1

Total 4.592.625 77,4 2.384.801 56,8

Table 5: CHK effects in the LIAB QM2 9310 data. The sum over all intervals does not yield the total numbers shown in the last row of the table due to the overlapping intervals. Per-centages refer to the total number of female or male workers in the data.

5 Data access The CHK effects will be provided to researchers working with the SIAB 7510, SIAB-R 7510, LIAB LM 9310, or LIAB QM2 93 data upon request by FDZ. An unexpired use agreement covering the respective data is required.

6 Description of Variables The variables contain both English and German variable labels. The label language may be changed by using the label language en or label language de command in Stata.

6.1 Identifiers

6.1.1 Individual ID (persnr) Variable label Individual ID Variable name persnr Category Identifier


Origin BeH Data type Numerical Hierarchy None

Detailed description

The artificial individual ID indicates which observations belong to the same person. Artificial means that it is not possible to infer any of the person’s characteristics or any original identifiers from this individual ID.

6.2 Personal Variables

6.2.1 Person Effect 1985 – 1991 (pers_effekt1985_1991) Variable label Person Effect 1985-1991 Variable name pers_effekt1985_1991 Category Personal variable Data type Numerical Hierarchy None

Detailed description This variable contains the estimated person effects for both male and female workers in the period 1985 to 1991.

Notice on quality This variable not available for the LIAB LM 9310 and LIAB QM2 9310 data.

6.2.2 Percentile Person Effects 1985 – 1991 (p_pers_effekt1985_1991) Variable label Percentile Person Effects 1985-1991 Variable name p_pers_effekt1985_1991 Category Personal variable Data type Numerical Hierarchy None

Detailed description This variable contains the 5%-percentile position of the person effect in the overall distributions of person effects for female and male workers in the period 1985 to 1991.

Notice on quality This variable not available for the LIAB LM 9310 and LIAB QM2 9310 data.

6.2.3 Number of Years in Employment 1985 – 1991 (anz_jahre1985_1991) Variable label Number of Years in Employment 1985-1991 Variable name anz_jahre1985_1991 Category Personal variable Origin BeH Data type Numerical Hierarchy None


Detailed description This variable contains the number of years in employment during the period 1985 to 1991 as measured by Card et. al 2013.

Notice on quality

This variable is not available for the LIAB LM 9310 and LIAB QM2 9310 data. This variable is not contained in the file prepared for the SIAB-Regionalfile 7510 data (Scientific Use File, siab-r-7510_v1_chk_v1.dta).

6.2.4 Number of Establishments 1985 – 1991 (anz_bet1985_1991) Variable label Number of Establishments 1985-1991 Variable name anz_bet1985_1991 Category Personal variable Origin BeH Data type Numerical Hierarchy None

Detailed description This variable contains the number of establishments during the period 1985 to 1991 as measured by Card et. al 2013.

Notice on quality

This variable is not available for the LIAB LM 9310 and LIAB QM2 9310 data. This variable is not contained in the file prepared for the SIAB-Regionalfile 7510 data (Scientific Use File, siab-r-7510_v1_chk_v1.dta).

6.2.5 Person Effect 1990 – 1996 (pers_effekt1990_1996) Variable label Person Effect 1990-1996 Variable name pers_effekt1990_1996 Category Personal variable Origin BeH Data type Numerical Hierarchy None


Notice on quality This variable is populated in both the LIAB LM 9310 and the LIAB QM2 9310 data as of 1993.







Notice on quality

This variable is populated in both the LIAB LM 9310 and the LIAB QM2 9310 data as of 1993. This variable is not contained in the file prepared for the SIAB-Regionalfile 7510 data (Scientific Use File, siab-r-7510_v1_chk_v1.dta).



Notice on quality


6.2.9 Person Effect 1996 – 2002 (pers_effekt1996_2002) Variable label Person Effect 1996-2002 Variable name pers_effekt1996_2002 Category Personal variable Origin BeH Data type Numerical


Hierarchy None






Notice on quality This variable is not contained in the file prepared for the SIAB-Regionalfile 7510 data (Scientific Use File, siab-r-7510_v1_chk_v1.dta).





6.2.13 Person Effect 2002 – 2009 (pers_effekt2002_2009) Variable label Person Effect 2002-2009 Variable name pers_effekt2002_2009 Category Personal variable Origin BeH Data type Numerical Hierarchy None




6.2.15 Number of Years in Employment 2002 – 2009 (anz_jahre2002_2009) Variable label Number of Years in Employment 2002-2009 Variable name anz_jahre2002_2009 Category Personal variable Origin BeH Data type Numerical Hierarchy none







6.3 Establishment Variables

6.3.1 Establishment Effect 1985 – 1991 (bet_effekt1985_1991) Variable label Establishment Effect 1985-1991 Variable name bet_effekt1985_1991 Category Establishment variable Origin BeH Data type Numerical Hierarchy None

Detailed description This variable contains the estimated establishment effects for the peri-od 1985 to 1991.

Notice on quality

This variable not available for the LIAB LM 9310 and LIAB QM2 9310. This variable is not contained in the file prepared for the SIAB-Regionalfile 7510 data (Scientific Use File, siab-r-7510_v1_chk_v1.dta).

6.3.2 Percentile Establishment Effects 1985 – 1991 (p_pers_effekt1985_1991)

Variable label Percentile Establishment Effects 1985-1991 Variable name p_pers_effekt1985_1991 Category Establishment variable Data type Numerical Hierarchy None

Detailed description This variable contains the 5%-percentile position of the establishment effect in the overall distribution of establishment effects for female and male workers in the period 1985 to 1991.




Notice on quality







Detailed description This variable contains the estimated establishment effects the period 1996 to 2002.

Notice on quality This variable is not contained in the file prepared for the SIAB-Regionalfile 7510 data (Scientific Use File, siab-r-7510 _chk_v1.dta).



Detailed description This variable contains the 5%-percentile position of the establishment effect in the overall distribution of establishment effects for female and


male workers in the period 1996 to 2002.







6.4 Generated Technical Variables

6.4.1 Spell counter per person (spell) Variable label Spell counter per year Variable name spell Category generated technical variables Origin BeH Data type Numerical Hierarchy None

Detailed description

The observation counter per person counts a person’s observations, beginning with 1. The variable is generated during the episode splitting procedure and refers to the split observations. Using the variable “ob-servation counter per person” it is easy to restore the original sorting order. The observations are sorted first by the start date of the split episode and then by the data source.


Appendix A1. Summary Statistics Person Effects

1985-1991 Males

5%-Percentile Position N mean sd p25 p50 p75 p99

1 814.756 3,21041 0,25064 3,14529 3,30136 3,37565 3,42154 2 814.755 3,48265 0,03009 3,45802 3,48574 3,50900 3,52833 3 814.755 3,56196 0,01780 3,54689 3,56289 3,57752 3,59050 4 814.756 3,61481 0,01320 3,60352 3,61524 3,62631 3,63643 5 814.755 3,65629 0,01094 3,64690 3,65652 3,66582 3,67445 6 814.755 3,69187 0,00970 3,68351 3,69201 3,70028 3,70810 7 814.756 3,72416 0,00899 3,71641 3,72423 3,73195 3,73932 8 814.755 3,75472 0,00866 3,74725 3,75477 3,76222 3,76937 9 814.755 3,78454 0,00857 3,77711 3,78456 3,79195 3,79908 10 814.755 3,81429 0,00862 3,80681 3,81428 3,82176 3,82897 11 814.756 3,84457 0,00890 3,83685 3,84453 3,85226 3,85978 12 814.755 3,87622 0,00943 3,86803 3,87612 3,88436 3,89241 13 814.755 3,91032 0,01031 3,90136 3,91015 3,91918 3,92816 14 814.756 3,94843 0,01178 3,93817 3,94817 3,95855 3,96890 15 814.755 3,99298 0,01411 3,98066 3,99256 4,00510 4,01771 16 814.755 4,04780 0,01782 4,03224 4,04712 4,06303 4,07939 17 814.756 4,11926 0,02376 4,09846 4,11823 4,13953 4,16152 18 814.755 4,21482 0,03171 4,18706 4,21357 4,24191 4,27103 19 814.755 4,34057 0,04131 4,30459 4,33868 4,37556 4,41490 20 814.755 4,57884 0,17859 4,46598 4,53237 4,63952 5,10332

Total 16.295.106 3,85848 0,31030 3,67480 3,82927 4,01825 4,67365


Females


1 472.581 2,94280 0,24994 2,84258 3,02043 3,12533 3,19949 2 472.581 3,30947 0,05530 3,26354 3,31475 3,35816 3,39355 3 472.581 3,45114 0,02960 3,42640 3,45347 3,47709 3,49727 4 472.581 3,53316 0,01910 3,51693 3,53410 3,54980 3,56399 5 472.580 3,59141 0,01503 3,57853 3,59173 3,60450 3,61632 6 472.581 3,64039 0,01349 3,62871 3,64049 3,65210 3,66311 7 472.581 3,68631 0,01309 3,67498 3,68631 3,69767 3,70852 8 472.581 3,73175 0,01316 3,72033 3,73175 3,74316 3,75405 9 472.581 3,77715 0,01302 3,76589 3,77719 3,78844 3,79916 10 472.580 3,82136 0,01246 3,81059 3,82143 3,83217 3,84232 11 472.581 3,86318 0,01166 3,85311 3,86330 3,87332 3,88274 12 472.581 3,90239 0,01106 3,89282 3,90246 3,91197 3,92106 13 472.581 3,94007 0,01073 3,93079 3,94009 3,94934 3,95829 14 472.581 3,97728 0,01080 3,96793 3,97723 3,98662 3,99572 15 472.580 4,01569 0,01146 4,00576 4,01555 4,02558 4,03545 16 472.581 4,05780 0,01297 4,04653 4,05747 4,06891 4,08047 17 472.581 4,10769 0,01612 4,09359 4,10708 4,12146 4,13628 18 472.581 4,17329 0,02236 4,15372 4,17207 4,19226 4,21371 19 472.581 4,27260 0,03725 4,23992 4,26905 4,30338 4,34343 20 472.580 4,53620 0,18777 4,39993 4,47934 4,61766 5,19161

Total 9.451.616 3,81656 0,35597 3,61681 3,84273 4,03587 4,66048


1990-1996 Males


1 861.165 3,21740 0,26354 3,14148 3,31364 3,39574 3,44590 2 861.164 3,51186 0,03233 3,48548 3,51528 3,54022 3,56071 3 861.165 3,59614 0,01869 3,58033 3,59720 3,61248 3,62604 4 861.164 3,65138 0,01373 3,63967 3,65186 3,66337 3,67381 5 861.165 3,69428 0,01125 3,68463 3,69453 3,70407 3,71293 6 861.164 3,73081 0,00993 3,72225 3,73095 3,73944 3,74742 7 861.165 3,76386 0,00921 3,75591 3,76393 3,77185 3,77936 8 861.164 3,79502 0,00881 3,78740 3,79507 3,80267 3,80989 9 861.165 3,82521 0,00866 3,81771 3,82521 3,83271 3,83989 10 861.164 3,85537 0,00878 3,84777 3,85535 3,86297 3,87034 11 861.165 3,88634 0,00915 3,87842 3,88625 3,89425 3,90205 12 861.164 3,91929 0,00992 3,91068 3,91915 3,92783 3,93640 13 861.165 3,95570 0,01120 3,94595 3,95547 3,96534 3,97514 14 861.164 3,99773 0,01321 3,98623 3,99736 4,00905 4,02088 15 861.165 4,04870 0,01640 4,03439 4,04815 4,06274 4,07759 16 861.164 4,11278 0,02080 4,09460 4,11205 4,13056 4,14948 17 861.165 4,19457 0,02666 4,17126 4,19366 4,21741 4,24156 18 861.164 4,29904 0,03385 4,26949 4,29797 4,32805 4,35852 19 861.165 4,42960 0,04204 4,39298 4,42796 4,46522 4,50484 20 861.164 4,65133 0,14624 4,55517 4,61775 4,71121 5,05595

Total 17.223.290 3,90682 0,32766 3,71329 3,87065 4,07823 4,73831


Females


1 502.129 3,16468 0,25452 3,06381 3,24527 3,34986 3,42463 2 502.129 3,53624 0,05646 3,48930 3,54118 3,58583 3,62297 3 502.128 3,68485 0,03203 3,65788 3,68720 3,71299 3,73487 4 502.129 3,77370 0,02062 3,75620 3,77476 3,79175 3,80683 5 502.128 3,83573 0,01581 3,82216 3,83615 3,84949 3,86180 6 502.129 3,88683 0,01391 3,87484 3,88701 3,89892 3,91010 7 502.129 3,93327 0,01300 3,92203 3,93337 3,94454 3,95518 8 502.128 3,97735 0,01245 3,96659 3,97744 3,98816 3,99832 9 502.129 4,01953 0,01188 4,00925 4,01962 4,02985 4,03952 10 502.128 4,05953 0,01123 4,04982 4,05962 4,06928 4,07844 11 502.129 4,09752 0,01074 4,08823 4,09758 4,10685 4,11565 12 502.129 4,13429 0,01053 4,12516 4,13433 4,14340 4,15214 13 502.128 4,17076 0,01056 4,16162 4,17071 4,17989 4,18876 14 502.129 4,20801 0,01096 4,19850 4,20795 4,21746 4,22677 15 502.128 4,24715 0,01171 4,23699 4,24698 4,25724 4,26734 16 502.129 4,29033 0,01338 4,27868 4,29001 4,30181 4,31371 17 502.129 4,34165 0,01652 4,32722 4,34101 4,35579 4,37089 18 502.128 4,40795 0,02230 4,38840 4,40680 4,42685 4,44816 19 502.129 4,50664 0,03705 4,47412 4,50303 4,53722 4,57723 20 502.128 4,76557 0,17921 4,63403 4,71455 4,84799 5,38457

Total 10.042.572 4,05208 0,35599 3,86232 4,07883 4,26777 4,88703


1996-2002 Males


1 819.241 2,37251 0,28715 2,26471 2,47587 2,57852 2,63923 2 819.241 2,71606 0,03726 2,68581 2,72032 2,74863 2,77196 3 819.241 2,81199 0,02105 2,79421 2,81319 2,83043 2,84555 4 819.240 2,87359 0,01515 2,86066 2,87417 2,88682 2,89828 5 819.241 2,92060 0,01227 2,91005 2,92092 2,93129 2,94086 6 819.241 2,96008 0,01066 2,95092 2,96025 2,96935 2,97786 7 819.241 2,99535 0,00979 2,98690 2,99543 3,00383 3,01181 8 819.240 3,02847 0,00938 3,02035 3,02849 3,03660 3,04436 9 819.241 3,06093 0,00941 3,05278 3,06091 3,06907 3,07693 10 819.241 3,09393 0,00970 3,08551 3,09386 3,10230 3,11053 11 819.241 3,12857 0,01034 3,11959 3,12844 3,13748 3,14636 12 819.240 3,16619 0,01145 3,15624 3,16597 3,17604 3,18603 13 819.241 3,20864 0,01315 3,19719 3,20833 3,21995 3,23154 14 819.241 3,25841 0,01570 3,24471 3,25798 3,27190 3,28584 15 819.241 3,31849 0,01912 3,30180 3,31792 3,33489 3,35200 16 819.240 3,39151 0,02306 3,37143 3,39090 3,41129 3,43180 17 819.241 3,47928 0,02779 3,45505 3,47845 3,50314 3,52800 18 819.241 3,58587 0,03389 3,55629 3,58496 3,61501 3,64507 19 819.241 3,71543 0,04145 3,67934 3,71393 3,75065 3,78917 20 819.240 3,93095 0,14069 3,83720 3,89580 3,98548 4,37370

Total 16.384.815 3,15084 0,35796 2,94125 3,11088 3,35273 4,01256


Females


1 482.038 3,20410 0,26573 3,08334 3,28649 3,40384 3,48515 2 482.038 3,60594 0,06093 3,55535 3,61138 3,65942 3,69956 3 482.038 3,76734 0,03521 3,73772 3,76977 3,79824 3,82269 4 482.038 3,86624 0,02324 3,84648 3,86735 3,88654 3,90366 5 482.038 3,93654 0,01796 3,92111 3,93706 3,95218 3,96613 6 482.038 3,99399 0,01543 3,98073 3,99424 4,00741 4,01970 7 482.038 4,04490 0,01407 4,03278 4,04504 4,05712 4,06852 8 482.038 4,09194 0,01308 4,08064 4,09210 4,10328 4,11389 9 482.038 4,13590 0,01237 4,12522 4,13597 4,14661 4,15679 10 482.038 4,17791 0,01189 4,16763 4,17794 4,18825 4,19799 11 482.038 4,21850 0,01158 4,20848 4,21855 4,22851 4,23814 12 482.038 4,25852 0,01155 4,24851 4,25850 4,26850 4,27816 13 482.038 4,29885 0,01178 4,28861 4,29878 4,30902 4,31900 14 482.038 4,34074 0,01245 4,32996 4,34060 4,35147 4,36219 15 482.038 4,38602 0,01378 4,37401 4,38580 4,39788 4,40989 16 482.038 4,43733 0,01602 4,42337 4,43689 4,45107 4,46537 17 482.038 4,49907 0,01990 4,48171 4,49833 4,51611 4,53415 18 482.038 4,57854 0,02672 4,55520 4,57709 4,60121 4,62680 19 482.038 4,69704 0,04435 4,65822 4,69275 4,73381 4,78113 20 482.037 4,98365 0,19053 4,84646 4,93297 5,06625 5,66522

Total 9.640.759 4,17615 0,39497 3,96669 4,19841 4,41041 5,10492


2002-2009 Males


1 791.731 2,97735 0,28414 2,87119 3,07774 3,18117 3,24394 2 791.730 3,32419 0,03897 3,29249 3,32863 3,35823 3,38264 3 791.730 3,42454 0,02208 3,40584 3,42581 3,44386 3,45982 4 791.730 3,48962 0,01612 3,47585 3,49021 3,50370 3,51591 5 791.730 3,53976 0,01309 3,52853 3,54010 3,55115 3,56144 6 791.730 3,58205 0,01146 3,57216 3,58222 3,59201 3,60119 7 791.730 3,62014 0,01063 3,61096 3,62022 3,62936 3,63803 8 791.730 3,65622 0,01028 3,64730 3,65624 3,66514 3,67362 9 791.730 3,69179 0,01030 3,68288 3,69177 3,70068 3,70935 10 791.730 3,72800 0,01067 3,71876 3,72790 3,73720 3,74629 11 791.731 3,76608 0,01133 3,75624 3,76595 3,77584 3,78556 12 791.730 3,80720 0,01249 3,79634 3,80699 3,81795 3,82884 13 791.730 3,85339 0,01427 3,84095 3,85306 3,86567 3,87823 14 791.730 3,90704 0,01682 3,89240 3,90659 3,92147 3,93645 15 791.730 3,97107 0,02023 3,95343 3,97049 3,98846 4,00643 16 791.730 4,04775 0,02405 4,02678 4,04720 4,06842 4,08968 17 791.730 4,13919 0,02911 4,11385 4,13819 4,16408 4,19051 18 791.730 4,25454 0,03815 4,22118 4,25298 4,28712 4,32231 19 791.730 4,40763 0,05064 4,36334 4,40555 4,45102 4,49728 20 791.730 4,65319 0,14734 4,55307 4,61734 4,71136 5,15494

Total 15.834.602 3,79204 0,38480 3,56186 3,74667 4,00722 4,73951


Females


1 473.392 2,87391 0,26288 2,74626 2,95131 3,07394 3,15953 2 473.392 3,28632 0,06360 3,23374 3,29214 3,34203 3,38380 3 473.392 3,45441 0,03682 3,42337 3,45691 3,48671 3,51243 4 473.392 3,55842 0,02451 3,53758 3,55957 3,57984 3,59794 5 473.392 3,63289 0,01909 3,61656 3,63340 3,64949 3,66442 6 473.392 3,69422 0,01655 3,67997 3,69448 3,70863 3,72184 7 473.391 3,74888 0,01510 3,73581 3,74907 3,76199 3,77420 8 473.392 3,79935 0,01408 3,78721 3,79950 3,81155 3,82304 9 473.392 3,84699 0,01346 3,83535 3,84708 3,85865 3,86967 10 473.392 3,89281 0,01304 3,88152 3,89286 3,90410 3,91488 11 473.392 3,93756 0,01281 3,92647 3,93756 3,94866 3,95928 12 473.392 3,98186 0,01280 3,97077 3,98186 3,99292 4,00364 13 473.392 4,02660 0,01307 4,01527 4,02652 4,03790 4,04895 14 473.391 4,07310 0,01385 4,06105 4,07298 4,08504 4,09687 15 473.392 4,12324 0,01525 4,10997 4,12297 4,13635 4,14967 16 473.392 4,18013 0,01776 4,16466 4,17968 4,19538 4,21120 17 473.392 4,24867 0,02212 4,22939 4,24784 4,26758 4,28780 18 473.392 4,33784 0,03017 4,31145 4,33619 4,36340 4,39233 19 473.392 4,47124 0,04984 4,42753 4,46666 4,51238 4,56555 20 473.391 4,78657 0,20216 4,63779 4,73160 4,87797 5,48754

Total 9.467.837 3,89775 0,42571 3,66504 3,91533 4,15023 4,92160


A2 Summary Statistics Establishment Effects 1985-1991 Males


1 61.055 -0,69596 0,32095 -0,82427 -0,61248 0,47822 -0,37984 2 61.055 -0,23387 0,07373 -0,29497 -0,22701 0,16929 -0,12110 3 61.055 -0,03935 0,04253 -0,07499 -0,03647 0,00201 0,02760 4 61.055 0,07937 0,02727 0,05638 0,08066 0,10333 0,12294 5 61.055 0,15821 0,01899 0,14191 0,15909 0,17494 0,18884 6 61.055 0,21491 0,01418 0,20277 0,21541 0,22725 0,23810 7 61.055 0,25899 0,01148 0,24910 0,25931 0,26897 0,27797 8 61.055 0,29541 0,00961 0,28717 0,29562 0,30376 0,31137 9 61.055 0,32664 0,00848 0,31931 0,32681 0,33406 0,34077 10 61.054 0,35457 0,00772 0,34792 0,35465 0,36127 0,36753 11 61.055 0,38046 0,00727 0,37417 0,38050 0,38679 0,39271 12 61.055 0,40526 0,00710 0,39909 0,40524 0,41139 0,41736 13 61.055 0,42975 0,00707 0,42359 0,42971 0,43590 0,44179 14 61.055 0,45435 0,00717 0,44813 0,45429 0,46053 0,46663 15 61.055 0,47993 0,00761 0,47337 0,47986 0,48649 0,49298 16 61.055 0,50745 0,00840 0,50015 0,50728 0,51467 0,52207 17 61.055 0,53899 0,00989 0,53041 0,53870 0,54744 0,55643 18 61.055 0,57828 0,01316 0,56676 0,57759 0,58942 0,60189 19 61.055 0,63626 0,02186 0,61716 0,63401 0,65424 0,67804 20 61.054 0,82998 0,21080 0,71284 0,76375 0,86659 1,64219

Total 1.221.098 0,29798 0,33860 0,18938 0,36777 0,49326 0,90333


Females


1 53.957 -1,07767 0,26885 -1,21198 -1,00438 -0,87187 -0,77839 2 53.956 -0,64142 0,06839 -0,69792 -0,63524 -0,58154 -0,53681 3 53.957 -0,46151 0,03936 -0,49502 -0,45889 -0,42695 -0,39903 4 53.956 -0,34768 0,02740 -0,37100 -0,34637 -0,32380 -0,30337 5 53.957 -0,26442 0,02111 -0,28245 -0,26376 -0,24595 -0,22981 6 53.956 -0,19817 0,01732 -0,21299 -0,19785 -0,18302 -0,16947 7 53.957 -0,14235 0,01501 -0,15535 -0,14215 -0,12919 -0,11742 8 53.956 -0,09369 0,01318 -0,10503 -0,09353 -0,08218 -0,07168 9 53.957 -0,05001 0,01200 -0,06031 -0,04988 -0,03962 -0,02993 10 53.956 -0,00988 0,01128 -0,01963 -0,00978 -0,00005 0,00916 11 53.956 0,02806 0,01062 0,01890 0,02810 0,03724 0,04612 12 53.957 0,06475 0,01061 0,05551 0,06475 0,07397 0,08278 13 53.956 0,10168 0,01070 0,09240 0,10171 0,11094 0,11986 14 53.957 0,13902 0,01093 0,12954 0,13903 0,14842 0,15776 15 53.956 0,17765 0,01134 0,16781 0,17761 0,18744 0,19701 16 53.957 0,21802 0,01191 0,20778 0,21789 0,22829 0,23846 17 53.956 0,26172 0,01345 0,25009 0,26148 0,27326 0,28519 18 53.957 0,31392 0,01718 0,29888 0,31307 0,32847 0,34479 19 53.956 0,38915 0,02822 0,36457 0,38635 0,41228 0,44332 20 53.956 0,63111 0,21821 0,48826 0,55712 0,69079 1,51209

Total 1.079.129 -0,04809 0,38484 -0,22915 0,00954 0,19744 0,73706


1990-1996 Males


1 67.892 -0,68073 0,30372 -0,80717 -0,59997 0,46856 -0,37383 2 67.891 -0,23031 0,07231 -0,29006 -0,22405 0,16711 -0,11882 3 67.891 -0,03869 0,04176 -0,07406 -0,03572 0,00226 0,02727 4 67.891 0,07908 0,02748 0,05572 0,08068 0,10321 0,12278 5 67.891 0,15888 0,01937 0,14234 0,15981 0,17576 0,19022 6 67.892 0,21756 0,01482 0,20494 0,21805 0,23046 0,24174 7 67.891 0,26348 0,01195 0,25326 0,26374 0,27390 0,28323 8 67.891 0,30161 0,01012 0,29295 0,30181 0,31039 0,31837 9 67.891 0,33437 0,00890 0,32667 0,33446 0,34211 0,34925 10 67.891 0,36363 0,00802 0,35674 0,36370 0,37057 0,37710 11 67.892 0,39054 0,00751 0,38404 0,39066 0,39702 0,40318 12 67.891 0,41605 0,00726 0,40974 0,41611 0,42235 0,42834 13 67.891 0,44097 0,00715 0,43482 0,44093 0,44718 0,45309 14 67.891 0,46603 0,00733 0,45971 0,46599 0,47239 0,47851 15 67.891 0,49211 0,00779 0,48536 0,49202 0,49886 0,50549 16 67.892 0,52023 0,00852 0,51287 0,52008 0,52754 0,53502 17 67.891 0,55206 0,00998 0,54338 0,55176 0,56056 0,56967 18 67.891 0,59149 0,01308 0,58006 0,59089 0,60260 0,61498 19 67.891 0,64886 0,02142 0,63013 0,64687 0,66640 0,68968 20 67.891 0,83929 0,20188 0,72386 0,77422 0,87301 1,66838

Total 1.357.824 0,30632 0,33893 0,19081 0,37736 0,50575 0,91033


Females


1 58.807 -1,20841 0,28134 -1,34416 -1,12989 -0,99382 -0,89923 2 58.807 -0,76124 0,06862 -0,81744 -0,75434 -0,70084 -0,65726 3 58.806 -0,58244 0,03897 -0,61530 -0,57993 -0,54850 -0,52076 4 58.807 -0,47118 0,02642 -0,49360 -0,47004 -0,44804 -0,42852 5 58.807 -0,39153 0,02012 -0,40869 -0,39099 -0,37397 -0,35844 6 58.806 -0,32850 0,01638 -0,34253 -0,32805 -0,31421 -0,30140 7 58.807 -0,27589 0,01407 -0,28799 -0,27560 -0,26367 -0,25255 8 58.807 -0,23020 0,01239 -0,24084 -0,22996 -0,21942 -0,20951 9 58.806 -0,18934 0,01125 -0,19902 -0,18923 -0,17958 -0,17039 10 58.807 -0,15145 0,01065 -0,16066 -0,15138 -0,14225 -0,13352 11 58.807 -0,11550 0,01019 -0,12437 -0,11549 -0,10664 -0,09825 12 58.806 -0,08051 0,01005 -0,08919 -0,08055 -0,07179 -0,06340 13 58.807 -0,04547 0,01015 -0,05428 -0,04553 -0,03669 -0,02814 14 58.807 -0,00991 0,01037 -0,01891 -0,00994 -0,00096 0,00778 15 58.806 0,02655 0,01073 0,01722 0,02653 0,03587 0,04482 16 58.807 0,06473 0,01141 0,05483 0,06456 0,07461 0,08430 17 58.807 0,10598 0,01258 0,09505 0,10567 0,11681 0,12792 18 58.806 0,15450 0,01586 0,14064 0,15376 0,16789 0,18296 19 58.807 0,22351 0,02578 0,20099 0,22074 0,24462 0,27324 20 58.806 0,45574 0,21301 0,31672 0,38171 0,51360 1,29535

Total 1.176.133 -0,19053 0,37270 -0,35780 -0,13317 0,04518 0,56161


1996-2002 Males


1 73.836 0,03267 0,30438 -0,10617 0,11724 0,25717 0,35661 2 73.835 0,50519 0,07511 0,44227 0,51147 0,57135 0,62126 3 73.835 0,70615 0,04432 0,66899 0,70895 0,74491 0,77621 4 73.835 0,83213 0,02959 0,80685 0,83377 0,85803 0,87945 5 73.836 0,91907 0,02139 0,90069 0,91992 0,93781 0,95371 6 73.835 0,98368 0,01627 0,96978 0,98418 0,99782 1,01038 7 73.835 1,03448 0,01320 1,02312 1,03485 1,04599 1,05625 8 73.835 1,07646 0,01113 1,06693 1,07678 1,08614 1,09490 9 73.836 1,11249 0,00979 1,10405 1,11257 1,12100 1,12884 10 73.835 1,14455 0,00881 1,13692 1,14459 1,15226 1,15931 11 73.835 1,17396 0,00821 1,16690 1,17402 1,18108 1,18773 12 73.835 1,20150 0,00773 1,19481 1,20158 1,20818 1,21452 13 73.836 1,22816 0,00772 1,22148 1,22818 1,23486 1,24123 14 73.835 1,25487 0,00779 1,24812 1,25487 1,26161 1,26814 15 73.835 1,28254 0,00823 1,27543 1,28245 1,28963 1,29666 16 73.835 1,31209 0,00889 1,30439 1,31194 1,31978 1,32744 17 73.836 1,34523 0,01045 1,33612 1,34492 1,35416 1,36359 18 73.835 1,38647 0,01379 1,37443 1,38575 1,39813 1,41136 19 73.835 1,44786 0,02335 1,42740 1,44538 1,46684 1,49298 20 73.835 1,66468 0,23035 1,53139 1,58898 1,70488 2,60905

Total 1.476.705 1,08221 0,36332 0,95429 1,15958 1,29695 1,74760


Females


1 59.581 -1,37578 0,29685 -1,52331 -1,29554 -1,14692 -1,04380 2 59.580 -0,89070 0,07718 -0,95481 -0,88324 -0,82309 -0,77309 3 59.581 -0,68946 0,04391 -0,72647 -0,68702 -0,65101 -0,61955 4 59.580 -0,56340 0,03003 -0,58905 -0,56203 -0,53708 -0,51488 5 59.580 -0,47369 0,02226 -0,49271 -0,47273 -0,45429 -0,43761 6 59.581 -0,40497 0,01781 -0,42028 -0,40443 -0,38938 -0,37577 7 59.580 -0,34855 0,01493 -0,36136 -0,34822 -0,33554 -0,32387 8 59.580 -0,29995 0,01323 -0,31139 -0,29961 -0,28845 -0,27794 9 59.581 -0,25621 0,01213 -0,26670 -0,25605 -0,24565 -0,23596 10 59.580 -0,21586 0,01131 -0,22562 -0,21583 -0,20600 -0,19678 11 59.580 -0,17747 0,01084 -0,18685 -0,17736 -0,16815 -0,15923 12 59.581 -0,14050 0,01062 -0,14968 -0,14048 -0,13129 -0,12250 13 59.580 -0,10386 0,01060 -0,11311 -0,10380 -0,09467 -0,08589 14 59.580 -0,06699 0,01072 -0,07620 -0,06709 -0,05770 -0,04866 15 59.581 -0,02912 0,01116 -0,03880 -0,02918 -0,01942 -0,01007 16 59.580 0,01052 0,01180 0,00027 0,01041 0,02074 0,03077 17 59.580 0,05359 0,01331 0,04199 0,05310 0,06506 0,07687 18 59.581 0,10612 0,01746 0,09087 0,10525 0,12091 0,13759 19 59.580 0,18448 0,03013 0,15802 0,18117 0,20900 0,24293 20 59.580 0,45503 0,24597 0,29342 0,36977 0,52275 1,42222

Total 1.191.607 -0,26134 0,40674 -0,43694 -0,19638 -0,00967 0,57674


2002-2009 Males


1 75.205 -0,70377 0,30529 -0,84942 -0,62198 0,47673 -0,37289 2 75.205 -0,21869 0,07769 -0,28299 -0,21208 0,15049 -0,09909 3 75.205 -0,01087 0,04638 -0,05007 0,00762 0,02990 0,06231 4 75.204 0,12158 0,03154 0,09477 0,12307 0,14917 0,17244 5 75.205 0,21587 0,02357 0,19568 0,21657 0,23643 0,25447 6 75.205 0,28885 0,01877 0,27282 0,28936 0,30518 0,31971 7 75.205 0,34811 0,01557 0,33470 0,34855 0,36170 0,37374 8 75.204 0,39801 0,01335 0,38648 0,39828 0,40967 0,42002 9 75.205 0,44094 0,01159 0,43092 0,44117 0,45103 0,46024 10 75.205 0,47901 0,01046 0,46999 0,47913 0,48811 0,49651 11 75.206 0,51370 0,00963 0,50538 0,51379 0,52209 0,52993 12 75.204 0,54634 0,00921 0,53840 0,54634 0,55430 0,56196 13 75.204 0,57786 0,00898 0,57008 0,57783 0,58566 0,59310 14 75.205 0,60891 0,00896 0,60115 0,60887 0,61667 0,62419 15 75.205 0,64066 0,00938 0,63252 0,64053 0,64877 0,65671 16 75.204 0,67459 0,01034 0,66556 0,67439 0,68350 0,69250 17 75.205 0,71308 0,01207 0,70253 0,71270 0,72343 0,73427 18 75.205 0,76039 0,01561 0,74673 0,75960 0,77358 0,78840 19 75.205 0,82882 0,02568 0,80634 0,82630 0,84993 0,87804 20 75.204 1,05742 0,22934 0,91924 0,98088 1,10298 2,01231

Total 1.504.095 0,41404 0,39657 0,25521 0,49685 0,65706 1,14851


Females


1 59.811 -1,12323 0,28873 -1,26614 -1,04953 -0,90260 -0,79533 2 59.810 -0,63609 0,07990 -0,70233 -0,62796 -0,56610 -0,51468 3 59.810 -0,42682 0,04580 -0,46523 -0,42386 -0,38677 -0,35423 4 59.810 -0,29589 0,03117 -0,32239 -0,29444 -0,26870 -0,24552 5 59.810 -0,20226 0,02338 -0,22231 -0,20135 -0,18178 -0,16407 6 59.810 -0,12986 0,01872 -0,14589 -0,12938 -0,11362 -0,09901 7 59.810 -0,07017 0,01599 -0,08400 -0,06988 -0,05625 -0,04355 8 59.810 -0,01812 0,01426 -0,03055 -0,01792 -0,00570 0,00567 9 59.810 0,02935 0,01320 0,01795 0,02953 0,04079 0,05146 10 59.810 0,07375 0,01247 0,06298 0,07384 0,08461 0,09472 11 59.810 0,11596 0,01203 0,10549 0,11588 0,12642 0,13638 12 59.810 0,15777 0,01212 0,14725 0,15780 0,16823 0,17831 13 59.810 0,19983 0,01223 0,18927 0,19971 0,21037 0,22070 14 59.810 0,24264 0,01247 0,23189 0,24258 0,25346 0,26402 15 59.810 0,28689 0,01303 0,27561 0,28674 0,29821 0,30910 16 59.810 0,33312 0,01379 0,32112 0,33303 0,34492 0,35689 17 59.810 0,38366 0,01551 0,37018 0,38326 0,39688 0,41082 18 59.810 0,44442 0,02017 0,42675 0,44338 0,46147 0,48083 19 59.810 0,53266 0,03297 0,50368 0,52944 0,55978 0,59578 20 59.810 0,81758 0,25169 0,64968 0,73053 0,89022 1,80425

Total 1.196.201 0,03576 0,43403 -0,16339 0,09512 0,30955 0,94732


References. Abowd, John; Kramarz, Francis; Margolis, David (1999), ‘High Wage Workers and High Wage Firms, In: Econometrica, Vol. 67, No. 2, pp. 251–333.

vom Berge, Philipp; Burghardt, Anja; Trenkle, Simon; (2013): Sample of integrated labour market biographies * regional file 1975-2010 (SIAB-R 7510). (FDZ-Datenreport, 09/2013 (en)), Nürnberg, 73 S.

vom Berge, Philipp; König, Marion; Seth, Stefan (2013): Sample of Integrated Labour Market Biographies (SIAB) 1975-2010. (FDZ-Datenreport, 01/2013 (en)), Nürnberg, 65 pp.

Card, David; Heining, Jörg; Kline, Patrick (2013): Workplace heterogeneity and the rise of West German wage inequality. In: The Quarterly Journal of Economics, Vol. 128, No. 3, pp. 967-1015.

Heining, Jörg; Scholz, Theresa; Seth, Stefan (2013): Linked-Employer-Employee data from the IAB: LIAB cross-sectional model 2 1993-2010 (LIAB QM2 9310). (FDZ-Datenreport, 02/2013 (en)), Nürnberg, 77 pp.

Klosterhuber, Wolfram; Heining, Jörg; Seth, Stefan (2013): Linked-employer-employee-data from the IAB: LIAB longitudinal model 1993-2010 (LIAB LM 9310). (FDZ-Datenreport, 08/2013 (en)), Nürnberg, 62 p.


01/2009

FDZ-Methodenreport 06/2015 (EN)

Stefan Bender, Dagmar Theune

Dagmar Theune

http://doku.iab.de/fdz/reporte/2015/MR_06-15_EN.pdf

Dr. Jörg Heining Institut für Arbeitsmarkt- und Berufsforschung (IAB) Forschungsdatenzentrum Regensburger Str. 104 90478 Nürnberg Telefon: 0911 / 179-5392 E-Mail: [email protected]

CHK Effects - David Card · FDZ-Methodenreport 06/2015 1 . Contents . Abstract ... (IEB) data...

Documents

Transcript of CHK Effects - David Card · FDZ-Methodenreport 06/2015 1 . Contents . Abstract ... (IEB) data...